Framework

Openai agents

13,865 Openai AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.

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Openai agents — page 120 of 139

Create ensembles of Large Language Models to query them all at the same time.

Drop-in observability for LLM applications — quality scoring, hallucination detection, cost tracking, and agent run debugging.

llm-exo-graph

Advanced Knowledge Graph Engine with Document Processing, Semantic Search and Multi-LLM Integration

llm-expect

LLM Expect is a minimalist, developer-first SDK for testing LLM-powered Python functions using structured JSONL datasets.

llm-failover

Multi-LLM provider client with automatic failover and priority ordering

llm-fallback

Automatic failover between LLM providers. When OpenAI is down, seamlessly switch to Anthropic, Google, or any backup.

llm-feat

Automated feature engineering using Large Language Models (LLMs) for tabular data

llm-fiber

A thin, fast, observable Python client for LLMs

llm-file-organizer

AI-powered filesystem cleanup tool with interactive CLI

llm-forge-playground

Small CLI playground for Qwen via an OpenAI-compatible LLM Forge gateway.

llm-forwarder

A configurable forwarder for OpenAI-compatible LLM requests

llm-functional-agents

A lightweight Python library for creating reliable, contract-driven LLM functions whose core logic is implemented by an LLM.

llm-handler

A unified handler for LLM API calls across OpenAI, Anthropic, and Google

llm-host

OpenAI-compatible inference server: Llama 3.1 8B + Whisper + Kokoro TTS exposed via ngrok

llm-http-api

HTTP API for LLM with OpenAI compatibility

llm-infer

Multi-backend LLM client library, a from-scratch PagedAttention inference engine, and an OpenAI-compatible serve wrapper.

llm-injection-guard

Drop-in prompt injection defense for LLM apps and AI agents — detect, sanitize, block, and audit injection attacks in real time. Includes multi-turn session scanning, allow-lists, rate-abuse detection, multi-layer scanner, FastAPI and Flask middleware.

llm-invoker

A Python library for managing multi-agent model invocation with automatic failover strategies

llm-io-normalizer

A lightweight Model I/O normalization layer for OpenAI-compatible LLM calls.

llm-json-streaming

A unified interface for streaming structured JSON from OpenAI, Anthropic, and Google Gemini.

llm-katan

One tiny model, every LLM API. Drop-in test server for OpenAI, Anthropic, Bedrock, and Vertex.

llm-kit-pro

A unified toolkit for working with multiple LLM providers

llm-limiters

A thread-safe and async rate limiter for Gemini and OpenAI models.

llm-litellm-proxy

LLM plugin for LiteLLM OpenAI-compatible proxies

llm-logger

Lightweight LLM call logger for OpenAI/Anthropic

llm-mask

Mask sensitive data in documents using a local OpenAI-compatible LLM

llm-message-hash-py

Stable canonical sha256 hash of LLM request/message structures. Recursive key-sorted JSON canonicalization with per-provider presets that drop noise fields. For cache keys and idempotency. Zero runtime deps.

llm-meter

Accurate LLM usage & cost tracking for Python backends (FastAPI-native)

llm-mock

pytest plugin to mock and replay OpenAI and Anthropic API calls — record once, replay forever, no API key needed

llm-model-deprecation

Track and check deprecation status of LLM provider models (OpenAI, Anthropic, etc.)

llm-model-diff

Compare LLM model outputs side-by-side with rich diff visualization

llm-model-gateway

OpenAI-compatible API server for simonw's llm cli

llm-model-router

Intelligent multi-LLM request router for cost optimization

llm-obs

Lightweight SDK for LLM inference logging and observability

llm-observe-proxy

OpenAI-compatible LLM proxy with SQLite request capture, observability, and an admin UI.

llm-openai-codex

Access OpenAI models via a Codex subscription

llm-openai-images

LLM plugin for OpenAI and Google image generation and editing

llm-openai-plugin

LLM plugin for OpenAI

llm-openai-via-codex

Access OpenAI models via a Codex subscription

llm-otel-kit

Drop-in OpenTelemetry GenAI observability for any LLM backend — local or cloud.

llm-pdf-chat

Talk to your PDFs using an LLM.

llm-performance-benchmark

Benchmark the performance (output speed, latency) of OpenAI compatible endpoints

llm-platform-kit

Production-ready LLM platform building blocks — observability, prompts, eval, RAG, hallucination guards

llm-preflight-check

Local preflight checks for LLM provider keys, endpoints, and model configuration

llm-prettier

A generic JSON prettier and interactive HTML viewer, built especially for parsing embedded JSON from LLM payloads and responses.

llm-promptguard

Reliable, structured, production-safe LLM outputs with schema validation and auto-repair

llm-provider

A unified interface for multiple LLM providers

llm-provider-factory

A unified interface for multiple LLM providers with image generation, speech-to-text, and function calling (OpenAI, Anthropic, Gemini, VertexAI, Ollama + DALL-E, Replicate, Whisper, Google Speech, Tools)

llm-proxy-server

LLM Proxy Server is an OpenAI-compatible http proxy server for inferencing various LLMs capable of working with Google, Anthropic, OpenAI APIs, local PyTorch inference, etc.

llm-radar

Real-time observability dashboard for LLM applications. Track prompts, tokens, costs, and latency. One-line integration.

llm-radar-mcp

MCP server providing real-time AI model intelligence - pricing, capabilities, and recommendations

llm-rate-guard

Cloud-agnostic rate limit mitigation for LLM APIs

llm-reasoner

Transform any LLM into a methodical thinker that excels at systematic reasoning like OpenAI o1 and DeepSeek R1

llm-recursive

A Python framework for building intelligent, recursive task decomposition systems powered by Large Language Models

llm-registry

A centralized registry for discovering and managing LLM model capabilities. Track model features, costs, and limitations across providers like OpenAI and Anthropic. Supports both verified model definitions and user-managed entries with local storage.

llm-regression-tester

A flexible library for testing LLM responses against predefined rubrics using OpenAI's API for automated scoring

llm-relay

Unified LLM usage management — API proxy, session diagnostics, multi-CLI orchestration.

llm-response-validator

Validate LLM responses against schemas, types, and constraints. Catch bad JSON, missing fields, and hallucinated formats before they crash your app.

llm-retry-py

Exponential backoff with full jitter for LLM API calls. Sync + async. Built-in retryable-code presets for Anthropic, OpenAI, Bedrock, Gemini. Zero runtime deps.

llm-rosetta

LLM-Rosetta: Unified LLM API adapter — bidirectional conversion between OpenAI, Anthropic, and Google formats via intermediate representation (IR).

llm-route

Intelligent LLM routing with weighted least-outstanding selection, 429 cooldown, and request class isolation

llm-router-ledger

Route text and embedding calls across LLM providers, keeping a JSONL ledger of every request and response for offline cost reconciliation.

llm-routing

Multi-LLM router MCP server — smart complexity routing, budget-aware model selection, 20+ providers (Claude, OpenAI, Gemini, Ollama, etc.)

llm-safe-pl

DEPRECATED — use pii-veil + pii-core instead. Reversible PII anonymization for Polish documents.

llm-schema-lite

LLM-ify your JSON schemas

llm-scope-cli

Local debugger for LLM API calls — waterfall breakdown of TTFT, cost, and token speed

llm-sdk-py

Small, clean Python SDK for OpenAI-compatible LLM APIs.

llm-selector

A Python library for selecting the best LLM model based on user input using any LLM via LiteLLM

llm-semantic-cache

Multi-tier caching platform for LLM embeddings, semantic search, and graph-based conversation memory

llm-sign

Provider and client helpers for signed LLM transcript verification

llm-slate

Multi-provider AI chat interface supporting 9+ LLM providers (Anthropic, OpenAI, xAI, Cohere, Mistral, Perplexity, Gemini, HuggingFace, Groq)

llm-smart-route

輕量級 LLM 模型追蹤與自動替換 Decorator

llm-sniffer

LLM Sniffer - OpenAI-compatible reverse proxy with request/response inspector

llm-space

A Python wrapper for managing OpenAI API and other LLM models.

llm-spend-profiler

Track, visualize, and optimize LLM API spending. Two lines of code, zero config.

llm-spend-tracker

Track and limit LLM API spending in real-time. Drop-in middleware for OpenAI, Anthropic, Google, and any OpenAI-compatible API.

llm-stack-watch

A comprehensive LLM tracing and monitoring library

llm-station

Agent framework with tool calling for OpenAI, Anthropic, and Google

llm-std-lib

Python library for standardization, optimization and monitoring of LLM API calls

llm-stream-processor

A callback-driven, prefix-safe, lazy LLM stream sanitization library.

llm-subtitle-translator

Advanced subtitle translator with LLM support for converting SRT to bilingual ASS files using OpenAI, Gemini, or DeepSeek APIs

llm-switchboard

A provider-agnostic Python interface for routing generation calls across LiteLLM, OpenAI, Ollama, and Watsonx

llm-term

A simple CLI to chat with LLM Models

llm-test-harness

Deterministic testing framework for LLM-powered apps — record/replay cassettes, eval scoring, regression testing

llm-token-guardian

Pre-call cost estimation, tracking, and budgets for OpenAI, Gemini, and Claude

llm-token-optimizer

Token cost control and auto-optimization for LLM apps — compress prompts, estimate costs, enforce budgets, route to cheap models, and cut LLM spend by up to 60%

llm-token-surgeon

Cut your LLM API bill by 30-70% with zero accuracy loss

llm-tokencost

A lightweight Python library for tracking OpenAI and Anthropic SDK costs with budget alerts

llm-toll

Lightweight drop-in Python decorator to track costs, monitor token usage, and enforce budget/rate limits for LLM API calls

llm-tools-server

Reusable Flask server for LLM backends (Ollama, LM Studio) with tool calling

llm-tracekit-openai

OpenTelemetry instrumentation for OpenAI.

llm-tracekit-openai-agents

OpenTelemetry instrumentation for OpenAI Agents SDK.

llm-usage-report

Parse LLM API response logs (Anthropic, OpenAI, Google) and generate token / cost reports. Supports a --alert-at budget alarm that exits non-zero when total cost exceeds a threshold. No framework adoption required.

llm-usage-tracker

Drop-in token + cost tracker for OpenAI / LiteLLM / Gemini with caching awareness

llm-warehouse

Auto-capture OpenAI and Anthropic LLM calls for warehousing and observability

llm-web

plugin for simonw's llm to add a web search LLM agent

llm-webextract

AI-powered web content extraction with Large Language Models

llm-whisper-api

Run transcriptions using the OpenAI Whisper API

llm-wrapper-test1

A comprehensive Python wrapper for Large Language Models with database integration and usage tracking